COMPUTATIONAL SCIENCE

BSc, BScHons (Physics), BScHons (Computer Science), PG Dip,

MSc (Computer Science)

DIVISION LEADER

Phumlani Nhlanganiso Khoza

Phumlani Nhlanganiso Khoza is an interdisciplinary scientist with broad interests that converge to applied research in unstructured data analytics, and its extension to business. His formal education includes various qualifications that span: Physics, Computer Science, and Computational & Applied Mathematics. At present, he is an Associate Lecturer in the School of Computer Science & Applied Mathematics at the University of the Witwatersrand, and is also working towards obtaining a PhD with a focus on machine learning. Amongst his recent achievements, he founded Scilinx Research in the School of Computer Science & Applied Mathematics at the University of the Witwatersrand. 

 

RESEARCH

Computational Science

Phumlani Nhlanganiso Khoza's overarching research interest pertains to developing conceptual and technological tools to probe complex systems, especially those involving human behaviour. His contribution to NeuRL entails the design and implementation of advanced data analytics tools for diverse modalities: time series (e.g. EEG), text data (e.g. qualitative surveys), etc.

Publication
2019

Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, et al. (2019) Think: Theory for Africa. PLOS Computational Biology 15(7): e1007049.https://doi.org/10.1371/journal.pcbi.1007049

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